Predicting nuclear maturation speed of oocytes from Japanese Black beef heifers through non-invasive observations during IVM: An attempt using machine learning algorithms

Autor: Ho, Thomas Chia-Tang, Kawate, Noritoshi, Koyama, Keisuke

Publikováno v: In Theriogenology 1 October 2023 209:235-242

Expert Performance in Visual Differentiation of Bacterial and Fungal Keratitis

Autor: Phit Upaphong, Manoj Vasudevan, Naveen Rao, Nakul Shekhawat, Mohamed Elghobaier, Napaporn Tananuvat, Sayali Pradhan, Suvitha Selvaraj, Vishal Jhanji, Diana Alvarez-Melloni, John K G Dart, Mohammad H. Dastjerdi, Menen Ayalew, Alan Sugar, Chris Estopinal, Vasudha Panday, Gerami D. Seitzman, Sonal S. Tuli, Jodhbir S. Mehta, Camila Kase, Michael Mimouni, Neha Shaik, Tyson Kim, Stephen D. McLeod, Brandon J. Lujan, Muthiah Srinivasan, Tanya Trinh, Nisha R. Acharya, Matilda Chan, Anna Hovakimyan, Prajna Lalitha, Elsie Chan, Y.Y. Choong, J. Peter Campbell, Joseph G. Christenbury, David Spokes, Bart T.H. van Dooren, Josephine Christy, Christine Martinez, Ruti Sella, Divya Karthik, Maria A. Woodward, Afshan A. Nanji, Nikhil Gokhale, Ashwin Balasubramanian, Audrey Talley Rostov, Faris Karas, Nathan Nataneli, Revathi Rajaraman, Meenu Chaudhary, N. Venkatesh Prajna, Rafael Martínez-Costa, Jeremy D. Keenan, David Liang, Ying Qian, Preethika Gandhi, Thomas M. Lietman, Tiru Krishnan, Sathish Devarajan, Aaleya Koreishi, Anitha Venugopal, Matthew Denny, Colleen Halfpenny, David G. Hwang, Elizabeth Viriya, Jennifer Rose-Nussbaumer, Rossen M Hazarbassanov, Thomas Chia, Adam Moss, Travis Redd, John Clements, Natalie Hernandez, Julie M. Schallhorn, Tomas Jaeschke, James Chodosh, Frank S. Hwang, Chulaluck Tangmonkongvoragul, Lakshmi Kattana

Publikováno v: Ophthalmology

This study quantifies the performance of an international cohort of cornea specialists in image-based differentiation of bacterial and fungal keratitis, identifying significant regional variation and establishing a reference standard for comparison a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f0c04212cd5868a22d5618eeeb2b804
https://doi.org/10.1016/j.ophtha.2021.09.019

SHORT-TERM COMPUTER-ASSISTED QUANTIFICATION OF PLUS DISEASE AFTER TREATMENT OF TYPE 1 RETINOPATHY OF PREMATURITY WITH INTRAVITREAL BEVACIZUMAB OR RETINAL LASER PHOTOCOAGULATION

Autor: Sharon F. Freedman, Thomas Chia, Kevin R. Gertsch, Leona Ding, David K. Wallace, J. Niklas Ulrich, Michelle T. Cabrera

Publikováno v: RETINAL Cases & Brief Reports. 15:314-319

PURPOSE To compare objectively measured changes in plus disease after bevacizumab and laser for Type 1 retinopathy of prematurity. METHODS ROPtool (a computer program) analyzed fundus images at baseline, 1 week, and subsequent examinations. RESULTS S

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44191ec8bddb08c84e81813f81d8e237
https://doi.org/10.1097/icb.0000000000000794

Comparison of optical biometry versus ultrasound biometry in cases with borderline signal-to-noise ratio

Autor: Tao Ming Thomas Chia, Hoon Jung, Minh Tho Nguyen

Publikováno v: Clinical ophthalmology (Auckland, N.Z.). 12

Tao Ming Thomas Chia,1 Minh T Nguyen,2 Hoon C Jung3,4 1Roski Eye Institute, University of Southern California, Los Angeles, CA, USA; 2Department of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madis

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::999de2d2ed262719ebca64661c783e10
https://pubmed.ncbi.nlm.nih.gov/30237695

A Pragmatic Model to Predict Future Device Aging

Autor: James Brown, Kean Hong Tok, Rui Gao, Zhigang Ji, Weidong Zhang, John S. Marsland, Thomas Chiarella, Jacopo Franco, Ben Kaczer, Dimitri Linten, Jian Fu Zhang

Publikováno v: IEEE Access, Vol 11, Pp 127725-127736 (2023)

To predict long term device aging under use bias, models extracted from voltage accelerated tests must be extrapolated into the future. The traditional model uses a power law, to linearly fit the test data on a log-log plot, and then extrapolates agi

Externí odkaz: https://doaj.org/article/c68a0e685eee498e8537f139468eb84e